BenchMark Quizzes by MDFT Pro

Choose Language Service For Recognizing Company-Specific Terms

MDFT Pro, a well-known training agency, is developing an intelligent chatbot to assist students with course inquiries and provide information about their comprehensive training programs. Claire, the Chatbot Development Manager, needs the bot to recognize and understand MDFT Pro’s specific course names, certification programs, instructor codenames, and proprietary educational methodologies that are unique to their training curriculum.

These company-specific terms and product names are not recognized by standard language models, but are frequently mentioned by students and staff in conversations. The solution must enable the chatbot to identify these custom entities with minimal development effort while maintaining high accuracy in recognizing MDFT Pro’s educational terminology.

Which Azure AI Language service should Claire include in the chatbot solution?

Choose the correct answer from the options below.

Explanations for each answer:

Custom Named Entity Recognition (NER) is correct. Custom NER is specifically designed to identify and classify custom entities like company products, codenames, and domain-specific terminology that aren't recognized by standard models.
Custom text classification is incorrect. Text classification categorizes entire documents or text passages into predefined classes, but doesn't identify specific entities within the text.
Entity linking is incorrect. Entity linking connects recognized entities to a knowledge base like Wikipedia, but requires entities to already exist in external databases.
Key phrase extraction is incorrect. Key phrase extraction identifies important phrases in text but doesn't provide the specific entity recognition and classification needed for company-specific terms.

Learn more about custom named entity recognition:

Custom NER

Exam Preparation Quiz

Choose Language Service For Recognizing Company-Specific Terms